Purpose This paper aims to present a concise review on the variant state-of-the-art dynamic
task allocation strategies. It presents a thorough discussion about the existing dynamic task …

The advancement of technology and the empowerment of the industry have made humans
and robots more closely tied together, known as human-robot collaboration. A sector that …

Fostering young learners' computational thinking in AI-based robots is a crucial issue in
educational settings. However, there was the complexity of technology in supporting …

Motion planning algorithms attempt to find a good compromise between planning time and
quality of solution. Due to their heuristic nature, they are typically configured with several …

Multi-agent systems have received a tremendous amount of attention in many areas of
research and industry, especially in robotics and computer science. With the increased …

The rise of the Internet of Things (IoT) has enabled a shift to a smart, remote, and more
distributed healthcare ecosystem supported by learning-based secure Internet of Medical …

There are over 30 billion devices at the network edge. This is largely driven by the
unprecedented growth of the Internet-of-Things (IoT) and 5G technologies. These devices …

In this paper, we present a model to achieve the collaboration of heterogeneous agent in the
open-dynamic environment. This model simulates a disaster rescue scenario, defines the …

Modern multi-robot systems often need to solve computationally intensive tasks but operate
with limited compute resources and in the presence of failures. Cooperating to share …

对于多任务分配问题, 传统的方法针对每一个任务独立地寻找一个最优分配方案,
没有考虑任务间的关联以及历史经验对新任务分配的影响, 因而复杂度较高 …